MACS Research Unit
MACS Research Unit
Sbit S.,MACS Research Unit |
Bechirdadi M.,MACS Research Unit |
Rhaimi B.C.,MACS Research Unit
Proceedings of International Conference on Advanced Systems and Electric Technologies, IC_ASET 2017 | Year: 2017
Unfortunately, better throughputs are continuously requested mobile networks face spectral resource scarcity. Consequently, spectrum resource's use must be optimized for that operators have introduced frequency reuse mechanism. Unfortunately, this mechanism is limited by co-channel interference and adjacent channel interference. An Orthogonal Frequency Division Multiple Access (OFDMA) has been introduced which was also better enhanced by femto cells concept. From this work it can be deduced that the Signal to co-channel interference ratio power does not exceed 14.1 dB for a user in edge cell whereas it can achieved 15.3 dB for a user in center cell with the same path loss value (γ=3.5). The signal to adjacent channel interference power ratio decreases from 20.7 w to 6.9 w if the number of active users in the neighbor interfering cell is increased from 10 to 30. However, from the fourth generation's study, we deduce that macro user's performances are reversely varied with femto cells number. In fact, SINR decreases from 10 dB to-5 dB if we increase the number of femto cells from 1 to 7. © 2017 IEEE.
Hrizi O.,MACS Research Unit |
Boussaid B.,MACS Research Unit |
Zouinkhi A.,MACS Research Unit |
Abdelkrim M.N.,MACS Research Unit
STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering | Year: 2014
This paper introduces a procedure for the design of reconfigurable linear quadratic (LQ) state-feedback control tolerant to actuator fault. In fact, this work is based on a fast adaptive fault diagnosis observer. We consider the Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection scheme for an additive actuator fault. Stability of the adaptive estimation is provided by a Lyapunov function ending with solving the Linear Matrix Inequalities (LMI). Therefore, thanks to the loop correction based on this novel estimation design, the process performances will be improved. As an example of simulation, a linear model describing an unicycle robot is proposed to illustrate the theoretical results. © 2014 IEEE.